Title Details

Dr. Marilyn Pelosi is a Professor of Quantitative Methods at Western New England College in Springfield, MA. Dr. Pelosi, a Rhode Island native graduated from Brown University, where she met her husband. She received her PhD. in Industrial Engineering from the University of Massachusetts, where she met co-author Terry Sandifer. Dr. Pelosi has worked as a statistician for the government in Washington DC., and taught Industrial Engineering at Western New England College before moving to her current position in the School of Business. Dr. Pelosi is known for her enthusiastic teaching style and for using real data from consulting projects in the classroom. Dr. Pelosi has two children and enjoys reading, traveling, and watching movies.

Dr. Terry Sandifer is a Professor of Mathematics at Southern Connecticut State University in New Haven. She graduated from Iona College and received her PhD. in Industrial Engineering and Operations Research from the University of Massachusetts, where she met both her husband and Dr. Pelosi. She continued her career teaching Industrial Engineering at Western New England College with Dr. Pelosi. Dr. Sandifer then spend five years working as a statistician for the Kimberly Clark Corporation before returning to teaching. A Brooklyn, NY, native, Dr. Sandifer has two children and enjoys reading, shopping, and playing video games.

Dr. Pelosi and Dr. Sandifer have been best friends since graduate school and have co-authored three statistician workbooks and a business statistics textbook.

Introduction: The Role of Statistics in Life.

Chapter 1. The Language of Statistics.

Chapter 2. Graphical Displays of Data.

Chapter 3. Numerical Descriptors of Data.

Chapter 4. Analyzing Bivariate Data.

Chapter 5. Probability.

Chapter 6. Random Variables and Probability Distributions.

Chapter 7. Sampling Distributions and Confidence Intervals.

Chapter 8. Hypothesis Testing: An Introduction.

Chapter 9. Inferences: More One-Population Tests.

Chapter 10. Comparing Two Populations.

Chapter 11. Regression Analysis.

Chapter 12. Multiple Regression Models.

Chapter 13. Experimental Design and ANOVA.

Chapter 14. The Analysis of Qualitative Data.

Chapter 15. Nonparametric Statistics.

Chapter 16. Making Your Case.

Appendix A. Statistical Tables.

Appendix B. Explanation of Large Data Sets.

Appendix C. Conditional Probability and Bayes' Rule.

Appendix D. The Poisson Probability Distribution.

Appendix E. Exercises Appendix.

Index.